mostly-ai

JSON twin: https://www.healthaidb.com/software/mostly-ai.json

Company Name

MOSTLY AI

Product URL

https://mostly.ai/synthetic-data-platform

Company URL

https://mostly.ai

Categories

Summary

MOSTLY AI is a synthetic data platform and open-source SDK that generates high-fidelity, privacy-preserving structured and text data for AI/ML, analytics, testing and data sharing in regulated environments such as healthcare and life sciences.

Description

Enterprise-ready data intelligence platform plus a permissive open-source Synthetic Data SDK (Apache 2.0) that trains generative models for tabular, time-series and text data. Provides local or cloud deployment, built-in privacy controls (differential privacy, privacy/fidelity reports), exportable generators, integrations with data platforms (e.g., Databricks, AWS marketplace), and compliance posture including SOC 2 and HIPAA support for healthcare use cases.

Api Available

yes

Certifications

Company Founding

2017

Company Offices

Compliance

Customers

Data Residency

Options for on-prem/private-cloud/air-gapped deployments; regional cloud hosting options (EU and other regions supported)

Data Standards

Deployment Model

Features

Id

P1085

Integration Partners

Integrations

Languages Supported

Last Updated

2025-09-07

License

SDK: Apache-2.0 (open source); Platform: commercial/proprietary (enterprise license)

Links

Market Segment

Optional Modules

Os Platforms

Pricing Details

Contact vendor for enterprise pricing; offers free tier/SDK for evaluation and a start-for-free option for the platform—request demo or sign up on vendor site.

Pricing Model

enterprise_quote

Privacy Features

Ratings

Regions Available

Release Year

2017

Security Features

Specialties

Support Channels

System Requirements

SaaS-hosted or on-prem/private-cloud (air-gapped) deployments; Python runtime for SDK

Target Users

Training Options

Type

product

User Reviews

Version

1.0

Canonical JSON

{
  "company_name": "MOSTLY AI",
  "company_url": "https://mostly.ai",
  "company_offices": [
    "Austria",
    "United States"
  ],
  "company_founding": "2017",
  "product_url": "https://mostly.ai/synthetic-data-platform",
  "categories": [
    "data anonymization",
    "synthetic data",
    "analytics",
    "AI/ML training",
    "testing & QA",
    "data sharing",
    "simulated data"
  ],
  "market_segment": [
    "enterprise",
    "smb"
  ],
  "links": [
    "https://mostly.ai",
    "https://mostly.ai/synthetic-data-platform",
    "https://mostly.ai/features",
    "https://mostly.ai/docs",
    "https://mostly.ai/privacy",
    "https://mostly.ai/pricing",
    "https://elion.health/products/mostly-ai",
    "https://www.g2.com/products/mostly-ai-synthetic-data-platform/reviews",
    "https://www.linkedin.com/company/mostlyai",
    "https://mostly.ai/imprint"
  ],
  "summary": "MOSTLY AI is a synthetic data platform and open-source SDK that generates high-fidelity, privacy-preserving structured and text data for AI/ML, analytics, testing and data sharing in regulated environments such as healthcare and life sciences.",
  "description": "Enterprise-ready data intelligence platform plus a permissive open-source Synthetic Data SDK (Apache 2.0) that trains generative models for tabular, time-series and text data. Provides local or cloud deployment, built-in privacy controls (differential privacy, privacy/fidelity reports), exportable generators, integrations with data platforms (e.g., Databricks, AWS marketplace), and compliance posture including SOC 2 and HIPAA support for healthcare use cases.",
  "target_users": [
    "data scientists",
    "ML engineers",
    "healthcare analytics teams",
    "clinical researchers",
    "IT/data engineering",
    "product/QA teams",
    "compliance/privacy teams",
    "life sciences researchers"
  ],
  "specialties": [
    "healthcare analytics",
    "clinical research",
    "pharma / life sciences",
    "payer analytics",
    "hospital & health system data",
    "software testing / QA"
  ],
  "regions_available": [
    "United States",
    "European Union",
    "United Kingdom",
    "Canada",
    "Australia",
    "Global"
  ],
  "languages_supported": [
    "English"
  ],
  "pricing_model": "enterprise_quote",
  "pricing_details": "Contact vendor for enterprise pricing; offers free tier/SDK for evaluation and a start-for-free option for the platform—request demo or sign up on vendor site.",
  "license": "SDK: Apache-2.0 (open source); Platform: commercial/proprietary (enterprise license)",
  "deployment_model": [
    "SaaS",
    "on_prem",
    "private_cloud",
    "air_gapped"
  ],
  "os_platforms": [
    "Web",
    "Linux",
    "macOS",
    "Windows"
  ],
  "features": [
    "synthetic data generation (realistic, stat-preserving)",
    "privacy-by-design default anonymization",
    "Synthetic Data SDK",
    "model overfitting prevention",
    "rare category protection",
    "extreme value protection",
    "extreme sequence length protection",
    "random-draw synthesis",
    "mock data generation for testing/QA",
    "simulated data / data-driven simulations",
    "data sharing / data democratization tooling",
    "privacy configuration defaults",
    "privacy protection validation and metrics",
    "AI Assistant (data-native workspace)"
  ],
  "optional_modules": [
    "AI Assistant",
    "Synthetic Data SDK (client-side SDKs)",
    "Simulated Data module",
    "Mock Data module"
  ],
  "integrations": [],
  "data_standards": [],
  "api_available": "yes",
  "system_requirements": "SaaS-hosted or on-prem/private-cloud (air-gapped) deployments; Python runtime for SDK",
  "compliance": [
    "GDPR",
    "CCPA/CPRA",
    "HIPAA",
    "PDPA",
    "APPI",
    "SOC 2",
    "ISO 27001"
  ],
  "certifications": [
    "SOC 2 Type II",
    "ISO 27001"
  ],
  "security_features": [
    "encryption in transit and at rest",
    "role-based access control (RBAC)",
    "SSO / Keycloak-based authentication (SAML/OIDC)",
    "audit logs",
    "model memorization/overfitting protections",
    "2FA"
  ],
  "privacy_features": [
    "default anonymization / privacy-by-design",
    "rare category substitution",
    "extreme value removal",
    "sequence length protection",
    "privacy-preserving model training and validation"
  ],
  "data_residency": "Options for on-prem/private-cloud/air-gapped deployments; regional cloud hosting options (EU and other regions supported)",
  "customers": [
    "City of Vienna",
    "Telefonica",
    "Erste Group",
    "New York-Presbyterian (referenced case)",
    "Unnamed Fortune 100 bank (referenced case)"
  ],
  "user_reviews": [
    "Helps maintain customer privacy and I can assure my customers that their sensitive data is safe.",
    "Interface is easy to use — I don't have to write code to produce high-quality synthesized data.",
    "High-fidelity synthetic data that preserves analytic value while protecting PII.",
    "Useful for testing and sharing data with third parties without privacy risk."
  ],
  "ratings": [
    "G2: 4.5/5 (approx. 17 reviews)",
    "AWS Marketplace: positive user reviews (no consolidated score)"
  ],
  "support_channels": [
    "email",
    "ticketing",
    "community"
  ],
  "training_options": [
    "documentation",
    "webinars",
    "live_online"
  ],
  "release_year": "2017",
  "integration_partners": [
    "AWS Marketplace",
    "GitHub (MOSTLY AI Synthetic Data SDK)"
  ],
  "id": "P1085",
  "slug": "mostly-ai",
  "type": "product",
  "version": "1.0",
  "last_updated": "2025-09-07",
  "links_json": {
    "self": "https://www.healthaidb.com/software/mostly-ai.json"
  }
}